A Secure and Efficient Lightweight Vehicle Group Authentication Protocol in 5G Networks

Miao, Junfeng; Wang, Zhaoshun; Miao, Xue; Xing, Longyue

doi:10.1155/2021/4079092

Cited by 20 publications

(18 citation statements)

References 47 publications

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“…The combination of recognition algorithm based on deep learning and detection of transmission lines was the current research hotspot. Computer digital security was also a factor to be considered [23]. At present, the intelligent detection mainly relied on the UAV to carry cameras to obtain the information of power components, so as to find faults and feedback information in actual time.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis and Detection of Transmission Lines Based on Twin Reality

Yang¹,

Du²,

Lü³

et al. 2023

J Multimed Inf Syst

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Now life has been transformed and upgraded to the direction of intelligence, digitalization and informatization along with the advancement of scientific and technological information. The traditional detection of transmission lines is completed by the professional maintenance personnel of the power grid through manual detection of lines. This method is inefficient and has a certain threat to the life safety of detection personnel. The development of deep learning and computational vision supplies a fresh idea for detection of transmission lines. Therefore, this paper analyzes the traditional Faster R-CNN based on twin reality scene modeling technology. Then aiming at the shortcomings of traditional algorithms, the Cascade R-CNN algorithm is proposed to complete the detection of transmission lines based on twin reality system. It compares the accuracy and other indicators of Cascade R-CNN and Faster R-CNN algorithms. The effectiveness of two algorithms for analysis and detection of transmission lines is verified through experiments. Finally, the results indicates that the system using Cascade R-CNN has higher prediction accuracy, and has better practicability for analysis and detection of transmission lines.

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Section: Literature Reviewmentioning

confidence: 99%

Analysis and Detection of Transmission Lines Based on Twin Reality

Yang¹,

Du²,

Lü³

et al. 2023

J Multimed Inf Syst

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“…However, several schemes such as [25]- [28] ignore the values of t x and t r due to their negligible execution time. Furthermore, the Chebyshev chaotic map is widely utilized in the VANET domain as it is proved to be appropriate for computationally limited devices [13], [20], [27]- [29].…”

Section: G Fast Response In Emergency Conditionsmentioning

confidence: 99%

“…• In [24], the Chebyshev chaotic map is defined to be more lightweight than the hash function. Furthermore, this map is frequently applied in the VANET authentication protocols [13], [20], [27]- [29] due to its lightweight computational properties.…”

Section: Formal Security Evaluation Using Scythermentioning

confidence: 99%

Secure VANET Authentication Protocol (SVAP) Using Chebyshev Chaotic Maps for Emergency Conditions

2022

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It is crucial to support emergency applications provided by vehicular adhoc network (VANET) through enabling vehicles to quickly access to the infrastructure and consequently request rescue services. Additionally, the communication channels between vehicles and the infrastructure lack various security features due to the inferior wireless characteristics of their environment. However, most of the existing authentication schemes which are used to fix the security drawbacks lead to heavy computations and large storage burdens on the vehicle onboard unit (OBU). These schemes utilize secure channels while distributing the network parameters between the various participants. Yet, it is not efficient to establish secure channels during the interactions between entities. Furthermore, lightweight cryptography is an efficient security solution which is adequate for OBU to maintain a reasonable efficiency with low computational and communication costs. Two basic demerits for lightweight authentication protocols are highlighted as follows: Firstly, symmetric key-based authentication protocols dismiss achieving non-repudiation feature, leading to several security attacks in VANET. Secondly, public key-based authentication schemes are relied on elliptic curve cryptography (ECC) which makes the protocol implementation more difficult. Hence, this paper introduces a novel authentication protocol that utilizes Chebyshev chaotic maps to secure connectivity between the vehicles and infrastructure without using secure channels to distribute the network parameters. The new protocol combines the concept of the symmetric key cryptography with the public key signature to satisfy both the lightweight property and non-repudiation feature. Thus, this protocol introduces a novel network model which is the lowest hardware complexity, compared with others. The performance analysis is performed by Wolfram Mathematica, proving that the proposed protocol is superior in terms of security and performance aspects; its computation and storage costs of OBU are enhanced with 24.09% and 16.99%, respectively, compared to the most competing scheme. Besides, the Scyther simulation confirms the security of the protocol.

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“…This can be a dangerous attack in an IoV environment. An attacker in the middle discreetly monitors, captures and effectively controls the communication between the two systems (Miao et al, 2021).…”

Section: Man-in-the-middle Attacksmentioning

confidence: 99%

Security of Autonomous Vehicles: 5g Iov (Internet of Vehicles) Environment

Saber

Mazri

2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. An autonomous vehicle is designed to move partially or totally without the intervention of the driver. It is a system equipped with sensors, communication and processing units that make it able to monitor and analyse traffic information in real time to improve road safety. In addition, Internet of Vehicles is the latest technology dedicated to autonomous vehicles, the integration of this technology with 5G serves as a platform to interconnect sensors, vehicles, infrastructure, pedestrian, and network. Hence, the 5G Internet of Vehicles environment provides significant benefits, including increased security, high reliability, wide communication coverage and low service latency. On the other hand, due to the ubiquity of network connectivity, it also presents serious confidentiality, integrity, and availability issues for autonomous vehicles. This paper provides an overview of the autonomous vehicle concept by highlighting its technologies and the 5G IoV environment, presenting some susceptible attacks that can touch the security of this environment, and some good practices to ensure the autonomous vehicle security.

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A Secure and Efficient Lightweight Vehicle Group Authentication Protocol in 5G Networks

Cited by 20 publications

References 47 publications

Analysis and Detection of Transmission Lines Based on Twin Reality

Analysis and Detection of Transmission Lines Based on Twin Reality

Secure VANET Authentication Protocol (SVAP) Using Chebyshev Chaotic Maps for Emergency Conditions

Security of Autonomous Vehicles: 5g Iov (Internet of Vehicles) Environment

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